Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	109
Missing cells	100
Missing cells (%)	3.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	24.8 KiB
Average record size in memory	233.2 B

Variable types

Numeric	9
Categorical	20

Alerts

`type` has constant value "regular"	Constant
`airdate` has constant value "2020-12-14"	Constant
`_embedded_show_dvdCountry` has constant value "nan"	Constant
`url` has a high cardinality: 109 distinct values	High cardinality
`name` has a high cardinality: 96 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 60 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 60 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 56 distinct values	High cardinality
`_links_self_href` has a high cardinality: 109 distinct values	High cardinality
`season` is highly correlated with `_embedded_show_updated`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`name` is highly correlated with `type` and 3 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_ended` and 14 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`summary` is highly correlated with `type` and 3 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`type` is highly correlated with `name` and 16 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`airdate` is highly correlated with `name` and 16 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`image` is highly correlated with `name` and 16 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `name` and 16 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`id` is highly correlated with `airstamp` and 14 other fields	High correlation
`name` is highly correlated with `season` and 18 other fields	High correlation
`season` is highly correlated with `name` and 12 other fields	High correlation
`number` is highly correlated with `name` and 15 other fields	High correlation
`airtime` is highly correlated with `name` and 16 other fields	High correlation
`airstamp` is highly correlated with `id` and 20 other fields	High correlation
`runtime` is highly correlated with `name` and 18 other fields	High correlation
`image` is highly correlated with `id` and 22 other fields	High correlation
`summary` is highly correlated with `name` and 3 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `name` and 19 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `name` and 18 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 16 other fields	High correlation
`runtime` has 5 (4.6%) missing values	Missing
`image` has 74 (67.9%) missing values	Missing
`_embedded_show_runtime` has 20 (18.3%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:10:57.916266
Analysis finished	2022-05-10 02:12:10.445778
Duration	1 minute and 12.53 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	109
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2019743.807

Minimum	1945592
Maximum	2318104
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	1945592
5-th percentile	1971207.4
Q1	1977834
median	1985643
Q3	1991659
95-th percentile	2243417.2
Maximum	2318104
Range	372512
Interquartile range (IQR)	13825

Descriptive statistics

Standard deviation	82477.3086
Coefficient of variation (CV)	0.04083552988
Kurtosis	3.555540579
Mean	2019743.807
Median Absolute Deviation (MAD)	7809
Skewness	2.136445158
Sum	220152075
Variance	6802506434
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1982403	1	0.9%
1977641	1	0.9%
1988054	1	0.9%
1988053	1	0.9%
1988052	1	0.9%
1987808	1	0.9%
1987325	1	0.9%
1987324	1	0.9%
1987323	1	0.9%
1987253	1	0.9%
Other values (99)	99	90.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945592	1	0.9%
1967929	1	0.9%
1969062	1	0.9%
1970767	1	0.9%
1971056	1	0.9%
1971207	1	0.9%
1971208	1	0.9%
1971209	1	0.9%
1971210	1	0.9%
1971211	1	0.9%

Value	Count	Frequency (%)
2318104	1	0.9%
2264942	1	0.9%
2264941	1	0.9%
2264940	1	0.9%
2264939	1	0.9%
2264938	1	0.9%
2211136	1	0.9%
2197595	1	0.9%
2197282	1	0.9%
2176131	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	109
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

https://www.tvmaze.com/episodes/1982403/volk-1x05-seria-05	1
https://www.tvmaze.com/episodes/1977641/to-love-1x30-episode-30	1
https://www.tvmaze.com/episodes/1988054/forever-love-1x03-episode-3	1
https://www.tvmaze.com/episodes/1988053/forever-love-1x02-episode-2	1
https://www.tvmaze.com/episodes/1988052/forever-love-1x01-episode-1	1
Other values (104)	104

Length

Max length	155
Median length	91
Mean length	76.75229358
Min length	58

Characters and Unicode

Total characters	8366
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	109 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1982403/volk-1x05-seria-05
2nd row	https://www.tvmaze.com/episodes/1982404/volk-1x06-seria-06
3rd row	https://www.tvmaze.com/episodes/2140387/going-seventeen-2020-12-14-going-vs-seventeen-1
4th row	https://www.tvmaze.com/episodes/1945592/my-little-invisible-being-1x12-episode-12
5th row	https://www.tvmaze.com/episodes/2065442/the-wonderland-of-ten-thousands-4x29-episode-29-157

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1982403/volk-1x05-seria-05	1	0.9%
https://www.tvmaze.com/episodes/1977641/to-love-1x30-episode-30	1	0.9%
https://www.tvmaze.com/episodes/1988054/forever-love-1x03-episode-3	1	0.9%
https://www.tvmaze.com/episodes/1988053/forever-love-1x02-episode-2	1	0.9%
https://www.tvmaze.com/episodes/1988052/forever-love-1x01-episode-1	1	0.9%
https://www.tvmaze.com/episodes/1987808/v-ritme-kolbasy-1x04-gibel-goliafa	1	0.9%
https://www.tvmaze.com/episodes/1987325/beauty-and-the-boss-1x05-episode-5	1	0.9%
https://www.tvmaze.com/episodes/1987324/beauty-and-the-boss-1x04-episode-4	1	0.9%
https://www.tvmaze.com/episodes/1987323/beauty-and-the-boss-1x03-episode-3	1	0.9%
https://www.tvmaze.com/episodes/1987253/beauty-and-the-boss-1x02-episode-2	1	0.9%
Other values (99)	99	90.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1982403/volk-1x05-seria-05	1	0.9%
https://www.tvmaze.com/episodes/1982428/vnutri-lapenko-3x02-2-seria	1	0.9%
https://www.tvmaze.com/episodes/2140387/going-seventeen-2020-12-14-going-vs-seventeen-1	1	0.9%
https://www.tvmaze.com/episodes/1945592/my-little-invisible-being-1x12-episode-12	1	0.9%
https://www.tvmaze.com/episodes/2065442/the-wonderland-of-ten-thousands-4x29-episode-29-157	1	0.9%
https://www.tvmaze.com/episodes/2071477/youths-in-the-breeze-1x07-the-boy-and-the-cat-07	1	0.9%
https://www.tvmaze.com/episodes/2071478/youths-in-the-breeze-1x08-the-boy-and-the-cat-08	1	0.9%
https://www.tvmaze.com/episodes/2080225/supreme-god-emperor-1x63-episode-63	1	0.9%
https://www.tvmaze.com/episodes/1977322/stjernestov-1x14-episode-14	1	0.9%
https://www.tvmaze.com/episodes/2003096/slepaa-10x100-cuzaa-igra	1	0.9%
Other values (99)	99	90.8%

Most occurring characters

Value	Count	Frequency (%)
e	734	8.8%
-	634	7.6%
t	565	6.8%
/	545	6.5%
s	514	6.1%
o	411	4.9%
w	352	4.2%
p	317	3.8%
a	302	3.6%
i	299	3.6%
Other values (30)	3693	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5584	66.7%
Decimal Number	1276	15.3%
Other Punctuation	872	10.4%
Dash Punctuation	634	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	734	13.1%
t	565	10.1%
s	514	9.2%
o	411	7.4%
w	352	6.3%
p	317	5.7%
a	302	5.4%
i	299	5.4%
m	275	4.9%
h	240	4.3%
Other values (16)	1575	28.2%

Decimal Number

Value	Count	Frequency (%)
1	268	21.0%
2	176	13.8%
0	159	12.5%
9	129	10.1%
7	110	8.6%
8	103	8.1%
4	93	7.3%
3	84	6.6%
5	79	6.2%
6	75	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	545	62.5%
.	218	25.0%
:	109	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	634	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5584	66.7%
Common	2782	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	734	13.1%
t	565	10.1%
s	514	9.2%
o	411	7.4%
w	352	6.3%
p	317	5.7%
a	302	5.4%
i	299	5.4%
m	275	4.9%
h	240	4.3%
Other values (16)	1575	28.2%

Common

Value	Count	Frequency (%)
-	634	22.8%
/	545	19.6%
1	268	9.6%
.	218	7.8%
2	176	6.3%
0	159	5.7%
9	129	4.6%
7	110	4.0%
:	109	3.9%
8	103	3.7%
Other values (4)	331	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8366	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	734	8.8%
-	634	7.6%
t	565	6.8%
/	545	6.5%
s	514	6.1%
o	411	4.9%
w	352	4.2%
p	317	3.8%
a	302	3.6%
i	299	3.6%
Other values (30)	3693	44.1%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	96
Distinct (%)	88.1%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

Episode 3	4
Episode 4	3
Episode 5	2
Episode 6	2
Episode 8	2
Other values (91)	96

Length

Max length	93
Median length	62
Mean length	17.4587156
Min length	5

Characters and Unicode

Total characters	1903
Distinct characters	118
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	78.9%

Sample

1st row	Серия 05
2nd row	Серия 06
3rd row	GOING VS SEVENTEEN #1
4th row	Episode 12
5th row	Episode 29 (157)

Common Values

Value	Count	Frequency (%)
Episode 3	4	3.7%
Episode 4	3	2.8%
Episode 5	2	1.8%
Episode 6	2	1.8%
Episode 8	2	1.8%
Episode 25	2	1.8%
Episode 2	2	1.8%
Episode 22	2	1.8%
Episode 1	2	1.8%
Episode 12	2	1.8%
Other values (86)	86	78.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	39	10.8%
the	23	6.4%
chapter	13	3.6%
	9	2.5%
3	6	1.7%
2	6	1.7%
1	6	1.7%
bölum	5	1.4%
4	5	1.4%
14	4	1.1%
Other values (206)	246	68.0%

Most occurring characters

Value	Count	Frequency (%)
	253	13.3%
e	167	8.8%
o	98	5.1%
i	84	4.4%
s	84	4.4%
a	77	4.0%
r	70	3.7%
t	68	3.6%
p	62	3.3%
d	60	3.2%
Other values (108)	880	46.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1140	59.9%
Uppercase Letter	303	15.9%
Space Separator	253	13.3%
Decimal Number	140	7.4%
Other Punctuation	53	2.8%
Dash Punctuation	6	0.3%
Close Punctuation	3	0.2%
Open Punctuation	3	0.2%
Math Symbol	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	167	14.6%
o	98	8.6%
i	84	7.4%
s	84	7.4%
a	77	6.8%
r	70	6.1%
t	68	6.0%
p	62	5.4%
d	60	5.3%
h	48	4.2%
Other values (42)	322	28.2%

Uppercase Letter

Value	Count	Frequency (%)
E	50	16.5%
T	33	10.9%
C	32	10.6%
S	16	5.3%
D	15	5.0%
A	12	4.0%
B	12	4.0%
N	12	4.0%
I	10	3.3%
H	9	3.0%
Other values (31)	102	33.7%

Decimal Number

Value	Count	Frequency (%)
2	32	22.9%
1	29	20.7%
0	16	11.4%
3	15	10.7%
4	13	9.3%
6	10	7.1%
5	8	5.7%
8	7	5.0%
7	7	5.0%
9	3	2.1%

Other Punctuation

Value	Count	Frequency (%)
:	18	34.0%
,	10	18.9%
'	8	15.1%
.	7	13.2%
#	6	11.3%
&	2	3.8%
?	1	1.9%
…	1	1.9%

Close Punctuation

Value	Count	Frequency (%)
)	2	66.7%
]	1	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	2	66.7%
[	1	33.3%

Space Separator

Value	Count	Frequency (%)
	253	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1318	69.3%
Common	460	24.2%
Cyrillic	125	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	167	12.7%
o	98	7.4%
i	84	6.4%
s	84	6.4%
a	77	5.8%
r	70	5.3%
t	68	5.2%
p	62	4.7%
d	60	4.6%
E	50	3.8%
Other values (41)	498	37.8%

Cyrillic

Value	Count	Frequency (%)
и	11	8.8%
а	9	7.2%
е	9	7.2%
о	8	6.4%
р	7	5.6%
С	6	4.8%
т	5	4.0%
м	5	4.0%
з	4	3.2%
я	4	3.2%
Other values (32)	57	45.6%

Common

Value	Count	Frequency (%)
	253	55.0%
2	32	7.0%
1	29	6.3%
:	18	3.9%
0	16	3.5%
3	15	3.3%
4	13	2.8%
,	10	2.2%
6	10	2.2%
'	8	1.7%
Other values (15)	56	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1770	93.0%
Cyrillic	125	6.6%
None	7	0.4%
Punctuation	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	253	14.3%
e	167	9.4%
o	98	5.5%
i	84	4.7%
s	84	4.7%
a	77	4.4%
r	70	4.0%
t	68	3.8%
p	62	3.5%
d	60	3.4%
Other values (62)	747	42.2%

Cyrillic

Value	Count	Frequency (%)
и	11	8.8%
а	9	7.2%
е	9	7.2%
о	8	6.4%
р	7	5.6%
С	6	4.8%
т	5	4.0%
м	5	4.0%
з	4	3.2%
я	4	3.2%
Other values (32)	57	45.6%

None

Value	Count	Frequency (%)
ö	5	71.4%
å	1	14.3%
é	1	14.3%

Punctuation

Value	Count	Frequency (%)
…	1	100.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	114.2568807

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	1224.4
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	462.1172772
Coefficient of variation (CV)	4.044546588
Kurtosis	13.90480014
Mean	114.2568807
Median Absolute Deviation (MAD)	0
Skewness	3.9556711
Sum	12454
Variance	213552.3778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	63	57.8%
2	16	14.7%
2020	6	5.5%
4	6	5.5%
3	3	2.8%
7	3	2.8%
6	3	2.8%
18	2	1.8%
12	2	1.8%
10	1	0.9%
Other values (4)	4	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	63	57.8%
2	16	14.7%
3	3	2.8%
4	6	5.5%
6	3	2.8%
7	3	2.8%
9	1	0.9%
10	1	0.9%
12	2	1.8%
18	2	1.8%

Value	Count	Frequency (%)
2020	6	5.5%
31	1	0.9%
30	1	0.9%
27	1	0.9%
18	2	1.8%
12	2	1.8%
10	1	0.9%
9	1	0.9%
7	3	2.8%
6	3	2.8%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	38.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.3853211

Minimum	1
Maximum	341
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	24
95-th percentile	94
Maximum	341
Range	340
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	57.80201013
Coefficient of variation (CV)	2.110693167
Kurtosis	17.16520687
Mean	27.3853211
Median Absolute Deviation (MAD)	5
Skewness	4.048931024
Sum	2985
Variance	3341.072375
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
4	9	8.3%
3	8	7.3%
2	8	7.3%
1	7	6.4%
6	7	6.4%
8	7	6.4%
5	6	5.5%
7	5	4.6%
12	4	3.7%
10	4	3.7%
Other values (32)	44	40.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	6.4%
2	8	7.3%
3	8	7.3%
4	9	8.3%
5	6	5.5%
6	7	6.4%
7	5	4.6%
8	7	6.4%
9	3	2.8%
10	4	3.7%

Value	Count	Frequency (%)
341	1	0.9%
302	1	0.9%
301	1	0.9%
234	1	0.9%
151	1	0.9%
100	1	0.9%
85	1	0.9%
82	1	0.9%
65	1	0.9%
63	1	0.9%

type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

regular	109

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	763
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	109	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	109	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	218	28.6%
e	109	14.3%
g	109	14.3%
u	109	14.3%
l	109	14.3%
a	109	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	763	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	218	28.6%
e	109	14.3%
g	109	14.3%
u	109	14.3%
l	109	14.3%
a	109	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	763	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	218	28.6%
e	109	14.3%
g	109	14.3%
u	109	14.3%
l	109	14.3%
a	109	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	763	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	218	28.6%
e	109	14.3%
g	109	14.3%
u	109	14.3%
l	109	14.3%
a	109	14.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

2020-12-14	109

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1090
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-14
2nd row	2020-12-14
3rd row	2020-12-14
4th row	2020-12-14
5th row	2020-12-14

Common Values

Value	Count	Frequency (%)
2020-12-14	109	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-14	109	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	327	30.0%
0	218	20.0%
-	218	20.0%
1	218	20.0%
4	109	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	872	80.0%
Dash Punctuation	218	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	327	37.5%
0	218	25.0%
1	218	25.0%
4	109	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	218	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	327	30.0%
0	218	20.0%
-	218	20.0%
1	218	20.0%
4	109	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	327	30.0%
0	218	20.0%
-	218	20.0%
1	218	20.0%
4	109	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	9.2%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

nan	74
20:00	27
12:00	1
06:00	1
17:35	1
Other values (5)	5

Length

Max length	5
Median length	3
Mean length	3.642201835
Min length	3

Characters and Unicode

Total characters	397
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	7.3%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	12:00
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	74	67.9%
20:00	27	24.8%
12:00	1	0.9%
06:00	1	0.9%
17:35	1	0.9%
00:00	1	0.9%
19:00	1	0.9%
20:15	1	0.9%
17:00	1	0.9%
21:00	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	74	67.9%
20:00	27	24.8%
12:00	1	0.9%
06:00	1	0.9%
17:35	1	0.9%
00:00	1	0.9%
19:00	1	0.9%
20:15	1	0.9%
17:00	1	0.9%
21:00	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
n	148	37.3%
0	97	24.4%
a	74	18.6%
:	35	8.8%
2	30	7.6%
1	6	1.5%
7	2	0.5%
5	2	0.5%
6	1	0.3%
3	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	222	55.9%
Decimal Number	140	35.3%
Other Punctuation	35	8.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	97	69.3%
2	30	21.4%
1	6	4.3%
7	2	1.4%
5	2	1.4%
6	1	0.7%
3	1	0.7%
9	1	0.7%

Lowercase Letter

Value	Count	Frequency (%)
n	148	66.7%
a	74	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	35	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222	55.9%
Common	175	44.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	97	55.4%
:	35	20.0%
2	30	17.1%
1	6	3.4%
7	2	1.1%
5	2	1.1%
6	1	0.6%
3	1	0.6%
9	1	0.6%

Latin

Value	Count	Frequency (%)
n	148	66.7%
a	74	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	397	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	148	37.3%
0	97	24.4%
a	74	18.6%
:	35	8.8%
2	30	7.6%
1	6	1.5%
7	2	0.5%
5	2	0.5%
6	1	0.3%
3	1	0.3%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	15.6%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

2020-12-14T12:00:00+00:00	78
2020-12-14T17:00:00+00:00	5
2020-12-14T04:00:00+00:00	5
2020-12-14T09:00:00+00:00	5
2020-12-14T00:00:00+00:00	2
Other values (12)	14

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2725
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	9.2%

Sample

1st row	2020-12-14T00:00:00+00:00
2nd row	2020-12-14T00:00:00+00:00
3rd row	2020-12-14T03:00:00+00:00
4th row	2020-12-14T04:00:00+00:00
5th row	2020-12-14T04:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-14T12:00:00+00:00	78	71.6%
2020-12-14T17:00:00+00:00	5	4.6%
2020-12-14T04:00:00+00:00	5	4.6%
2020-12-14T09:00:00+00:00	5	4.6%
2020-12-14T00:00:00+00:00	2	1.8%
2020-12-14T11:00:00+00:00	2	1.8%
2020-12-14T19:00:00+00:00	2	1.8%
2020-12-15T01:00:00+00:00	1	0.9%
2020-12-14T22:00:00+00:00	1	0.9%
2020-12-14T19:15:00+00:00	1	0.9%
Other values (7)	7	6.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-14t12:00:00+00:00	78	71.6%
2020-12-14t04:00:00+00:00	5	4.6%
2020-12-14t09:00:00+00:00	5	4.6%
2020-12-14t17:00:00+00:00	5	4.6%
2020-12-14t00:00:00+00:00	2	1.8%
2020-12-14t11:00:00+00:00	2	1.8%
2020-12-14t19:00:00+00:00	2	1.8%
2020-12-14t15:00:00+00:00	1	0.9%
2020-12-14t05:00:00+00:00	1	0.9%
2020-12-14t05:35:00+00:00	1	0.9%
Other values (7)	7	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	1105	40.6%
2	408	15.0%
:	327	12.0%
1	313	11.5%
-	218	8.0%
4	113	4.1%
T	109	4.0%
+	109	4.0%
9	8	0.3%
5	7	0.3%
Other values (3)	8	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1962	72.0%
Other Punctuation	327	12.0%
Dash Punctuation	218	8.0%
Uppercase Letter	109	4.0%
Math Symbol	109	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1105	56.3%
2	408	20.8%
1	313	16.0%
4	113	5.8%
9	8	0.4%
5	7	0.4%
7	5	0.3%
3	2	0.1%
6	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	327	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	218	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	109	100.0%

Math Symbol

Value	Count	Frequency (%)
+	109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2616	96.0%
Latin	109	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1105	42.2%
2	408	15.6%
:	327	12.5%
1	313	12.0%
-	218	8.3%
4	113	4.3%
+	109	4.2%
9	8	0.3%
5	7	0.3%
7	5	0.2%
Other values (2)	3	0.1%

Latin

Value	Count	Frequency (%)
T	109	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2725	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1105	40.6%
2	408	15.0%
:	327	12.0%
1	313	11.5%
-	218	8.0%
4	113	4.1%
T	109	4.0%
+	109	4.0%
9	8	0.3%
5	7	0.3%
Other values (3)	8	0.3%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	32.7%
Missing	5
Missing (%)	4.6%
Infinite	0
Infinite (%)	0.0%
Mean	41.15384615

Minimum	4
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	4
5-th percentile	10
Q1	22.75
median	45
Q3	55.25
95-th percentile	88.35
Maximum	180
Range	176
Interquartile range (IQR)	32.5

Descriptive statistics

Standard deviation	28.47133433
Coefficient of variation (CV)	0.6918268154
Kurtosis	6.00127731
Mean	41.15384615
Median Absolute Deviation (MAD)	15
Skewness	1.900854708
Sum	4280
Variance	810.6168783
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	16	14.7%
23	12	11.0%
60	12	11.0%
20	7	6.4%
30	4	3.7%
10	4	3.7%
58	4	3.7%
120	3	2.8%
37	3	2.8%
48	3	2.8%
Other values (24)	36	33.0%
(Missing)	5	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	2	1.8%
7	2	1.8%
10	4	3.7%
11	3	2.8%
12	2	1.8%
15	3	2.8%
18	1	0.9%
20	7	6.4%
22	1	0.9%

Value	Count	Frequency (%)
180	1	0.9%
130	1	0.9%
120	3	2.8%
90	1	0.9%
79	1	0.9%
60	12	11.0%
58	4	3.7%
57	1	0.9%
56	2	1.8%
55	3	2.8%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	35
Distinct (%)	100.0%
Missing	74
Missing (%)	67.9%
Memory size	1000.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726348.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726348.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722210.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722210.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722211.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722211.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722212.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722212.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722213.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722213.jpg'}	1
Other values (30)	30

Length

Max length	176
Median length	176
Mean length	176
Min length	176

Characters and Unicode

Total characters	6160
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726348.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726348.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721853.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721853.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/319/799925.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/319/799925.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722184.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722184.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722185.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722185.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726348.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726348.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722210.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722210.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722211.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722211.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722212.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722212.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722213.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722213.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722214.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722214.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722215.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722215.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722216.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722216.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722217.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722217.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722218.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722218.jpg'}	1	0.9%
Other values (25)	25	22.9%
(Missing)	74	67.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	35	25.0%
original	35	25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/288/722184.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/722187.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/722186.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/722186.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/722185.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/288/722185.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/722184.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/319/799925.jpg	1	0.7%
Other values (62)	62	44.3%

Most occurring characters

Value	Count	Frequency (%)
/	490	8.0%
a	420	6.8%
t	385	6.2%
m	350	5.7%
i	350	5.7%
s	315	5.1%
e	280	4.5%
'	280	4.5%
o	245	4.0%
p	245	4.0%
Other values (28)	2800	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4130	67.0%
Other Punctuation	1155	18.8%
Decimal Number	630	10.2%
Space Separator	105	1.7%
Connector Punctuation	70	1.1%
Close Punctuation	35	0.6%
Open Punctuation	35	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	420	10.2%
t	385	9.3%
m	350	8.5%
i	350	8.5%
s	315	7.6%
e	280	6.8%
o	245	5.9%
p	245	5.9%
g	210	5.1%
c	210	5.1%
Other values (9)	1120	27.1%

Decimal Number

Value	Count	Frequency (%)
2	220	34.9%
8	152	24.1%
7	84	13.3%
1	62	9.8%
9	28	4.4%
5	22	3.5%
3	20	3.2%
0	18	2.9%
4	12	1.9%
6	12	1.9%

Other Punctuation

Value	Count	Frequency (%)
/	490	42.4%
'	280	24.2%
.	210	18.2%
:	140	12.1%
,	35	3.0%

Space Separator

Value	Count	Frequency (%)
	105	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	70	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	35	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	35	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4130	67.0%
Common	2030	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	490	24.1%
'	280	13.8%
2	220	10.8%
.	210	10.3%
8	152	7.5%
:	140	6.9%
	105	5.2%
7	84	4.1%
_	70	3.4%
1	62	3.1%
Other values (9)	217	10.7%

Latin

Value	Count	Frequency (%)
a	420	10.2%
t	385	9.3%
m	350	8.5%
i	350	8.5%
s	315	7.6%
e	280	6.8%
o	245	5.9%
p	245	5.9%
g	210	5.1%
c	210	5.1%
Other values (9)	1120	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	490	8.0%
a	420	6.8%
t	385	6.2%
m	350	5.7%
i	350	5.7%
s	315	5.1%
e	280	4.5%
'	280	4.5%
o	245	4.0%
p	245	4.0%
Other values (28)	2800	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	30.3%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

nan	77
<p>While Peter and Vincent fight for their lives in the Congo, Zora prepares everything in Dublin for a hostile takeover of the Swann Empire. Meanwhile, Peter's daughter Jane starts an affair with Vincent's younger brother Danny and gets on the wrong track. In the Congo, Grace is seriously ill with the Marburg virus and urgently needs medical help.</p>	1
<p>An old man wants to see his wife smile one more time before he takes his last breath.</p>	1
<p>Contestants are quizzed on their English and Botany knowledge as they race towards the second elimination point. </p>	1
<p>Mr. Jan Sport and Mr. Barry-Thunderf*ck sit down with Mr. Royale to chat about how they met their queens, how their queens are making it through Covid, and some special talents of their own!</p>	1
Other values (28)	28

Length

Max length	354
Median length	3
Mean length	51.77981651
Min length	3

Characters and Unicode

Total characters	5644
Distinct characters	62
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	29.4%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	77	70.6%
<p>While Peter and Vincent fight for their lives in the Congo, Zora prepares everything in Dublin for a hostile takeover of the Swann Empire. Meanwhile, Peter's daughter Jane starts an affair with Vincent's younger brother Danny and gets on the wrong track. In the Congo, Grace is seriously ill with the Marburg virus and urgently needs medical help.</p>	1	0.9%
<p>An old man wants to see his wife smile one more time before he takes his last breath.</p>	1	0.9%
<p>Contestants are quizzed on their English and Botany knowledge as they race towards the second elimination point. </p>	1	0.9%
<p>Mr. Jan Sport and Mr. Barry-Thunderf*ck sit down with Mr. Royale to chat about how they met their queens, how their queens are making it through Covid, and some special talents of their own!</p>	1	0.9%
<p>Janejira's death has been concluded as a case of suicide. But a lot are still seeking justice for her. And the more you find the truth, the riskier it becomes. Yet this makes Tan and Bun's relationship even closer.</p>	1	0.9%
<p>Everything reaches a turning point on the last night of "Ripper," as the dancers pull off a jaw-dropping finale and shocking secrets are revealed.</p>	1	0.9%
<p>The dancers step up with a viral video to save the school from the expose's fallout. Armed with new evidence, Officer Cruz makes an arrest.</p><p><br /> </p>	1	0.9%
<p>A photo shoot sheds new light on problems within the group. Neveah pays a price with Madame for talking to the press. Cassie's condition takes a turn.</p><p><br /> </p>	1	0.9%
<p>Neveah, June and Bette's undercover sting to catch a predator goes sideways. Mixing business with pleasure puts Madame's reign at risk.</p><p><br /> </p>	1	0.9%
Other values (23)	23	21.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	77	7.9%
the	37	3.8%
and	36	3.7%
a	35	3.6%
to	29	3.0%
with	16	1.6%
of	15	1.5%
for	12	1.2%
	11	1.1%
p	11	1.1%
Other values (510)	693	71.3%

Most occurring characters

Value	Count	Frequency (%)
	853	15.1%
e	487	8.6%
a	439	7.8%
n	439	7.8%
t	341	6.0%
i	286	5.1%
r	281	5.0%
s	280	5.0%
o	276	4.9%
h	188	3.3%
Other values (52)	1774	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4251	75.3%
Space Separator	864	15.3%
Math Symbol	182	3.2%
Other Punctuation	168	3.0%
Uppercase Letter	164	2.9%
Dash Punctuation	15	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	487	11.5%
a	439	10.3%
n	439	10.3%
t	341	8.0%
i	286	6.7%
r	281	6.6%
s	280	6.6%
o	276	6.5%
h	188	4.4%
l	160	3.8%
Other values (16)	1074	25.3%

Uppercase Letter

Value	Count	Frequency (%)
T	16	9.8%
A	15	9.1%
B	13	7.9%
H	13	7.9%
M	11	6.7%
C	10	6.1%
S	10	6.1%
D	9	5.5%
R	9	5.5%
J	8	4.9%
Other values (12)	50	30.5%

Other Punctuation

Value	Count	Frequency (%)
.	51	30.4%
/	50	29.8%
,	41	24.4%
'	20	11.9%
!	2	1.2%
"	2	1.2%
*	1	0.6%
:	1	0.6%

Space Separator

Value	Count	Frequency (%)
	853	98.7%
	11	1.3%

Math Symbol

Value	Count	Frequency (%)
>	91	50.0%
<	91	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	80.0%
—	3	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4415	78.2%
Common	1229	21.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	487	11.0%
a	439	9.9%
n	439	9.9%
t	341	7.7%
i	286	6.5%
r	281	6.4%
s	280	6.3%
o	276	6.3%
h	188	4.3%
l	160	3.6%
Other values (38)	1238	28.0%

Common

Value	Count	Frequency (%)
	853	69.4%
>	91	7.4%
<	91	7.4%
.	51	4.1%
/	50	4.1%
,	41	3.3%
'	20	1.6%
-	12	1.0%
	11	0.9%
—	3	0.2%
Other values (4)	6	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5630	99.8%
None	11	0.2%
Punctuation	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	853	15.2%
e	487	8.7%
a	439	7.8%
n	439	7.8%
t	341	6.1%
i	286	5.1%
r	281	5.0%
s	280	5.0%
o	276	4.9%
h	188	3.3%
Other values (50)	1760	31.3%

None

Value	Count	Frequency (%)
	11	100.0%

Punctuation

Value	Count	Frequency (%)
—	3	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	60
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42982.59633

Minimum	802
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	802
5-th percentile	15250
Q1	35597
median	49081
Q3	52524
95-th percentile	59622
Maximum	61755
Range	60953
Interquartile range (IQR)	16927

Descriptive statistics

Standard deviation	14500.1953
Coefficient of variation (CV)	0.3373503822
Kurtosis	0.372657519
Mean	42982.59633
Median Absolute Deviation (MAD)	5788
Skewness	-1.09985353
Sum	4685103
Variance	210255663.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25910	13	11.9%
43293	10	9.2%
52524	8	7.3%
52479	5	4.6%
51954	5	4.6%
60156	5	4.6%
54996	3	2.8%
15250	2	1.8%
52159	2	1.8%
52108	2	1.8%
Other values (50)	54	49.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
802	1	0.9%
2504	1	0.9%
6090	1	0.9%
6146	1	0.9%
10821	1	0.9%
15250	2	1.8%
17447	1	0.9%
17584	1	0.9%
18971	1	0.9%
22473	1	0.9%

Value	Count	Frequency (%)
61755	1	0.9%
60156	5	4.6%
58821	1	0.9%
58426	1	0.9%
58367	1	0.9%
57009	1	0.9%
56848	1	0.9%
56655	1	0.9%
55019	1	0.9%
54996	3	2.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	60
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

https://www.tvmaze.com/shows/25910/hilda	13
https://www.tvmaze.com/shows/43293/tiny-pretty-things	10
https://www.tvmaze.com/shows/52524/forever-love	8
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5
https://www.tvmaze.com/shows/51954/the-runner	5
Other values (55)	68

Length

Max length	67
Median length	57
Mean length	48.5412844
Min length	39

Characters and Unicode

Total characters	5291
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	42.2%

Sample

1st row	https://www.tvmaze.com/shows/52181/volk
2nd row	https://www.tvmaze.com/shows/52181/volk
3rd row	https://www.tvmaze.com/shows/56655/going-seventeen
4th row	https://www.tvmaze.com/shows/50916/my-little-invisible-being
5th row	https://www.tvmaze.com/shows/54610/the-wonderland-of-ten-thousands

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/25910/hilda	13	11.9%
https://www.tvmaze.com/shows/43293/tiny-pretty-things	10	9.2%
https://www.tvmaze.com/shows/52524/forever-love	8	7.3%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5	4.6%
https://www.tvmaze.com/shows/51954/the-runner	5	4.6%
https://www.tvmaze.com/shows/60156/efsane-t	5	4.6%
https://www.tvmaze.com/shows/54996/the-silent-criminal	3	2.8%
https://www.tvmaze.com/shows/15250/the-young-turks	2	1.8%
https://www.tvmaze.com/shows/52159/to-love	2	1.8%
https://www.tvmaze.com/shows/52108/psych-hunter	2	1.8%
Other values (50)	54	49.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/25910/hilda	13	11.9%
https://www.tvmaze.com/shows/43293/tiny-pretty-things	10	9.2%
https://www.tvmaze.com/shows/52524/forever-love	8	7.3%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5	4.6%
https://www.tvmaze.com/shows/51954/the-runner	5	4.6%
https://www.tvmaze.com/shows/60156/efsane-t	5	4.6%
https://www.tvmaze.com/shows/54996/the-silent-criminal	3	2.8%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	1.8%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	1.8%
https://www.tvmaze.com/shows/42412/professionals	2	1.8%
Other values (50)	54	49.5%

Most occurring characters

Value	Count	Frequency (%)
/	545	10.3%
t	458	8.7%
w	450	8.5%
s	405	7.7%
o	294	5.6%
h	291	5.5%
e	286	5.4%
m	241	4.6%
.	218	4.1%
a	197	3.7%
Other values (30)	1906	36.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3715	70.2%
Other Punctuation	872	16.5%
Decimal Number	545	10.3%
Dash Punctuation	159	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	458	12.3%
w	450	12.1%
s	405	10.9%
o	294	7.9%
h	291	7.8%
e	286	7.7%
m	241	6.5%
a	197	5.3%
v	141	3.8%
p	136	3.7%
Other values (16)	816	22.0%

Decimal Number

Value	Count	Frequency (%)
5	106	19.4%
2	82	15.0%
4	70	12.8%
1	60	11.0%
9	55	10.1%
0	48	8.8%
6	40	7.3%
3	36	6.6%
7	24	4.4%
8	24	4.4%

Other Punctuation

Value	Count	Frequency (%)
/	545	62.5%
.	218	25.0%
:	109	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	159	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3715	70.2%
Common	1576	29.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	458	12.3%
w	450	12.1%
s	405	10.9%
o	294	7.9%
h	291	7.8%
e	286	7.7%
m	241	6.5%
a	197	5.3%
v	141	3.8%
p	136	3.7%
Other values (16)	816	22.0%

Common

Value	Count	Frequency (%)
/	545	34.6%
.	218	13.8%
-	159	10.1%
:	109	6.9%
5	106	6.7%
2	82	5.2%
4	70	4.4%
1	60	3.8%
9	55	3.5%
0	48	3.0%
Other values (4)	124	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5291	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	545	10.3%
t	458	8.7%
w	450	8.5%
s	405	7.7%
o	294	5.6%
h	291	5.5%
e	286	5.4%
m	241	4.6%
.	218	4.1%
a	197	3.7%
Other values (30)	1906	36.0%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	60
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

Hilda	13
Tiny Pretty Things	10
Forever Love	8
Beauty and the Boss	5
The Runner	5
Other values (55)	68

Length

Max length	33
Median length	22
Mean length	13.66055046
Min length	4

Characters and Unicode

Total characters	1489
Distinct characters	88
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	42.2%

Sample

1st row	Волк
2nd row	Волк
3rd row	Going Seventeen
4th row	My Little Invisible Being
5th row	The Wonderland of Ten Thousands

Common Values

Value	Count	Frequency (%)
Hilda	13	11.9%
Tiny Pretty Things	10	9.2%
Forever Love	8	7.3%
Beauty and the Boss	5	4.6%
The Runner	5	4.6%
Efsane T	5	4.6%
The Silent Criminal	3	2.8%
The Young Turks	2	1.8%
To Love	2	1.8%
Psych Hunter	2	1.8%
Other values (50)	54	49.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	23	8.6%
hilda	13	4.9%
love	12	4.5%
pretty	10	3.7%
things	10	3.7%
tiny	10	3.7%
forever	8	3.0%
of	6	2.2%
and	6	2.2%
efsane	5	1.9%
Other values (127)	165	61.6%

Most occurring characters

Value	Count	Frequency (%)
e	161	10.8%
	159	10.7%
n	92	6.2%
i	79	5.3%
r	78	5.2%
a	74	5.0%
t	70	4.7%
o	66	4.4%
s	64	4.3%
h	55	3.7%
Other values (78)	591	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1079	72.5%
Uppercase Letter	239	16.1%
Space Separator	159	10.7%
Other Punctuation	7	0.5%
Decimal Number	5	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	161	14.9%
n	92	8.5%
i	79	7.3%
r	78	7.2%
a	74	6.9%
t	70	6.5%
o	66	6.1%
s	64	5.9%
h	55	5.1%
l	43	4.0%
Other values (40)	297	27.5%

Uppercase Letter

Value	Count	Frequency (%)
T	55	23.0%
B	21	8.8%
P	18	7.5%
H	17	7.1%
L	14	5.9%
F	13	5.4%
M	12	5.0%
S	12	5.0%
R	10	4.2%
C	10	4.2%
Other values (20)	57	23.8%

Other Punctuation

Value	Count	Frequency (%)
.	2	28.6%
'	2	28.6%
!	2	28.6%
,	1	14.3%

Decimal Number

Value	Count	Frequency (%)
0	3	60.0%
2	1	20.0%
3	1	20.0%

Space Separator

Value	Count	Frequency (%)
	159	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1241	83.3%
Common	171	11.5%
Cyrillic	77	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	161	13.0%
n	92	7.4%
i	79	6.4%
r	78	6.3%
a	74	6.0%
t	70	5.6%
o	66	5.3%
s	64	5.2%
h	55	4.4%
T	55	4.4%
Other values (40)	447	36.0%

Cyrillic

Value	Count	Frequency (%)
о	9	11.7%
л	6	7.8%
т	6	7.8%
р	6	7.8%
а	5	6.5%
к	5	6.5%
е	5	6.5%
В	4	5.2%
н	3	3.9%
у	3	3.9%
Other values (20)	25	32.5%

Common

Value	Count	Frequency (%)
	159	93.0%
0	3	1.8%
.	2	1.2%
'	2	1.2%
!	2	1.2%
2	1	0.6%
3	1	0.6%
,	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1409	94.6%
Cyrillic	77	5.2%
None	3	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	161	11.4%
	159	11.3%
n	92	6.5%
i	79	5.6%
r	78	5.5%
a	74	5.3%
t	70	5.0%
o	66	4.7%
s	64	4.5%
h	55	3.9%
Other values (45)	511	36.3%

Cyrillic

Value	Count	Frequency (%)
о	9	11.7%
л	6	7.8%
т	6	7.8%
р	6	7.8%
а	5	6.5%
к	5	6.5%
е	5	6.5%
В	4	5.2%
н	3	3.9%
у	3	3.9%
Other values (20)	25	32.5%

None

Value	Count	Frequency (%)
Ç	1	33.3%
ø	1	33.3%
ä	1	33.3%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

Scripted	58
Animation	19
Talk Show	9
Documentary	8
Reality	7
Other values (4)	8

Length

Max length	11
Median length	8
Mean length	8.28440367
Min length	4

Characters and Unicode

Total characters	903
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	Scripted
2nd row	Scripted
3rd row	Variety
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	58	53.2%
Animation	19	17.4%
Talk Show	9	8.3%
Documentary	8	7.3%
Reality	7	6.4%
News	3	2.8%
Variety	2	1.8%
Game Show	2	1.8%
Sports	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	58	48.3%
animation	19	15.8%
show	11	9.2%
talk	9	7.5%
documentary	8	6.7%
reality	7	5.8%
news	3	2.5%
variety	2	1.7%
game	2	1.7%
sports	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
i	105	11.6%
t	95	10.5%
e	80	8.9%
S	70	7.8%
r	69	7.6%
c	66	7.3%
p	59	6.5%
d	58	6.4%
a	47	5.2%
n	46	5.1%
Other values (17)	208	23.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	772	85.5%
Uppercase Letter	120	13.3%
Space Separator	11	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	105	13.6%
t	95	12.3%
e	80	10.4%
r	69	8.9%
c	66	8.5%
p	59	7.6%
d	58	7.5%
a	47	6.1%
n	46	6.0%
o	39	5.1%
Other values (8)	108	14.0%

Uppercase Letter

Value	Count	Frequency (%)
S	70	58.3%
A	19	15.8%
T	9	7.5%
D	8	6.7%
R	7	5.8%
N	3	2.5%
V	2	1.7%
G	2	1.7%

Space Separator

Value	Count	Frequency (%)
	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	892	98.8%
Common	11	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	105	11.8%
t	95	10.7%
e	80	9.0%
S	70	7.8%
r	69	7.7%
c	66	7.4%
p	59	6.6%
d	58	6.5%
a	47	5.3%
n	46	5.2%
Other values (16)	197	22.1%

Common

Value	Count	Frequency (%)
	11	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	903	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	105	11.6%
t	95	10.5%
e	80	8.9%
S	70	7.8%
r	69	7.6%
c	66	7.3%
p	59	6.5%
d	58	6.4%
a	47	5.2%
n	46	5.1%
Other values (17)	208	23.0%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	14.7%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

English	44
Chinese	32
Russian	8
Turkish	6
Norwegian	4
Other values (11)	15

Length

Max length	10
Median length	7
Mean length	6.972477064
Min length	3

Characters and Unicode

Total characters	760
Distinct characters	32
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	6.4%

Sample

1st row	Russian
2nd row	Russian
3rd row	Korean
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
English	44	40.4%
Chinese	32	29.4%
Russian	8	7.3%
Turkish	6	5.5%
Norwegian	4	3.7%
Korean	2	1.8%
Swedish	2	1.8%
Thai	2	1.8%
Arabic	2	1.8%
Spanish	1	0.9%
Other values (6)	6	5.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	44	40.4%
chinese	32	29.4%
russian	8	7.3%
turkish	6	5.5%
norwegian	4	3.7%
korean	2	1.8%
swedish	2	1.8%
thai	2	1.8%
arabic	2	1.8%
spanish	1	0.9%
Other values (6)	6	5.5%

Most occurring characters

Value	Count	Frequency (%)
i	104	13.7%
s	102	13.4%
n	97	12.8%
h	89	11.7%
e	75	9.9%
g	49	6.4%
E	44	5.8%
l	44	5.8%
C	32	4.2%
a	25	3.3%
Other values (22)	99	13.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	652	85.8%
Uppercase Letter	108	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	104	16.0%
s	102	15.6%
n	97	14.9%
h	89	13.7%
e	75	11.5%
g	49	7.5%
l	44	6.7%
a	25	3.8%
u	18	2.8%
r	16	2.5%
Other values (10)	33	5.1%

Uppercase Letter

Value	Count	Frequency (%)
E	44	40.7%
C	32	29.6%
R	8	7.4%
T	8	7.4%
N	4	3.7%
S	3	2.8%
A	2	1.9%
L	2	1.9%
K	2	1.9%
P	1	0.9%
Other values (2)	2	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	760	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	104	13.7%
s	102	13.4%
n	97	12.8%
h	89	11.7%
e	75	9.9%
g	49	6.4%
E	44	5.8%
l	44	5.8%
C	32	4.2%
a	25	3.3%
Other values (22)	99	13.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	104	13.7%
s	102	13.4%
n	97	12.8%
h	89	11.7%
e	75	9.9%
g	49	6.4%
E	44	5.8%
l	44	5.8%
C	32	4.2%
a	25	3.3%
Other values (22)	99	13.0%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	23.9%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

[]	30
['Drama', 'Romance']	17
['Adventure', 'Children', 'Fantasy']	13
['Drama', 'Romance', 'Mystery']	10
['Drama']	6
Other values (21)	33

Length

Max length	36
Median length	32
Mean length	18.06422018
Min length	2

Characters and Unicode

Total characters	1969
Distinct characters	31
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	11.9%

Sample

1st row	['Drama', 'Adventure', 'Mystery']
2nd row	['Drama', 'Adventure', 'Mystery']
3rd row	[]
4th row	['Comedy', 'Anime']
5th row	['Anime', 'Fantasy', 'Romance']

Common Values

Value	Count	Frequency (%)
[]	30	27.5%
['Drama', 'Romance']	17	15.6%
['Adventure', 'Children', 'Fantasy']	13	11.9%
['Drama', 'Romance', 'Mystery']	10	9.2%
['Drama']	6	5.5%
['Comedy']	6	5.5%
['Drama', 'Adventure', 'Mystery']	2	1.8%
['Crime', 'Thriller', 'Mystery']	2	1.8%
['Drama', 'Thriller', 'Mystery']	2	1.8%
['Drama', 'Romance', 'History']	2	1.8%
Other values (16)	19	17.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	49	23.2%
romance	32	15.2%
	30	14.2%
adventure	16	7.6%
fantasy	16	7.6%
mystery	16	7.6%
children	15	7.1%
comedy	11	5.2%
thriller	7	3.3%
crime	5	2.4%
Other values (6)	14	6.6%

Most occurring characters

Value	Count	Frequency (%)
'	362	18.4%
a	164	8.3%
e	121	6.1%
r	118	6.0%
[	109	5.5%
]	109	5.5%
m	102	5.2%
,	102	5.2%
	102	5.2%
n	87	4.4%
Other values (21)	593	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1004	51.0%
Other Punctuation	464	23.6%
Uppercase Letter	181	9.2%
Open Punctuation	109	5.5%
Close Punctuation	109	5.5%
Space Separator	102	5.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	164	16.3%
e	121	12.1%
r	118	11.8%
m	102	10.2%
n	87	8.7%
y	63	6.3%
t	56	5.6%
o	53	5.3%
d	43	4.3%
i	39	3.9%
Other values (7)	158	15.7%

Uppercase Letter

Value	Count	Frequency (%)
D	49	27.1%
R	32	17.7%
C	31	17.1%
A	24	13.3%
F	19	10.5%
M	16	8.8%
T	7	3.9%
H	2	1.1%
S	1	0.6%

Other Punctuation

Value	Count	Frequency (%)
'	362	78.0%
,	102	22.0%

Open Punctuation

Value	Count	Frequency (%)
[	109	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	109	100.0%

Space Separator

Value	Count	Frequency (%)
	102	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1185	60.2%
Common	784	39.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	164	13.8%
e	121	10.2%
r	118	10.0%
m	102	8.6%
n	87	7.3%
y	63	5.3%
t	56	4.7%
o	53	4.5%
D	49	4.1%
d	43	3.6%
Other values (16)	329	27.8%

Common

Value	Count	Frequency (%)
'	362	46.2%
[	109	13.9%
]	109	13.9%
,	102	13.0%
	102	13.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1969	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	362	18.4%
a	164	8.3%
e	121	6.1%
r	118	6.0%
[	109	5.5%
]	109	5.5%
m	102	5.2%
,	102	5.2%
	102	5.2%
n	87	4.4%
Other values (21)	593	30.1%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

Ended	55
Running	34
To Be Determined	20

Length

Max length	16
Median length	5
Mean length	7.642201835
Min length	5

Characters and Unicode

Total characters	833
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Ended
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Ended	55	50.5%
Running	34	31.2%
To Be Determined	20	18.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	55	36.9%
running	34	22.8%
to	20	13.4%
be	20	13.4%
determined	20	13.4%

Most occurring characters

Value	Count	Frequency (%)
n	177	21.2%
e	135	16.2%
d	130	15.6%
E	55	6.6%
i	54	6.5%
	40	4.8%
R	34	4.1%
u	34	4.1%
g	34	4.1%
T	20	2.4%
Other values (6)	120	14.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	644	77.3%
Uppercase Letter	149	17.9%
Space Separator	40	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	177	27.5%
e	135	21.0%
d	130	20.2%
i	54	8.4%
u	34	5.3%
g	34	5.3%
o	20	3.1%
t	20	3.1%
r	20	3.1%
m	20	3.1%

Uppercase Letter

Value	Count	Frequency (%)
E	55	36.9%
R	34	22.8%
T	20	13.4%
B	20	13.4%
D	20	13.4%

Space Separator

Value	Count	Frequency (%)
	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	793	95.2%
Common	40	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	177	22.3%
e	135	17.0%
d	130	16.4%
E	55	6.9%
i	54	6.8%
R	34	4.3%
u	34	4.3%
g	34	4.3%
T	20	2.5%
o	20	2.5%
Other values (5)	100	12.6%

Common

Value	Count	Frequency (%)
	40	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	833	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	177	21.2%
e	135	16.2%
d	130	15.6%
E	55	6.6%
i	54	6.5%
	40	4.8%
R	34	4.1%
u	34	4.1%
g	34	4.1%
T	20	2.4%
Other values (6)	120	14.4%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	28.1%
Missing	20
Missing (%)	18.3%
Infinite	0
Infinite (%)	0.0%
Mean	40.26966292

Minimum	5
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	5
5-th percentile	10
Q1	22
median	37
Q3	51
95-th percentile	108
Maximum	180
Range	175
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	29.57761901
Coefficient of variation (CV)	0.734488865
Kurtosis	6.285256028
Mean	40.26966292
Median Absolute Deviation (MAD)	14
Skewness	2.094527984
Sum	3584
Variance	874.8355465
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
45	15	13.8%
60	14	12.8%
24	13	11.9%
20	7	6.4%
10	5	4.6%
30	5	4.6%
15	3	2.8%
37	3	2.8%
120	3	2.8%
48	2	1.8%
Other values (15)	19	17.4%
(Missing)	20	18.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	1.8%
7	2	1.8%
10	5	4.6%
11	1	0.9%
12	1	0.9%
15	3	2.8%
16	1	0.9%
20	7	6.4%
22	1	0.9%
23	1	0.9%

Value	Count	Frequency (%)
180	1	0.9%
130	1	0.9%
120	3	2.8%
90	1	0.9%
60	14	12.8%
55	1	0.9%
51	2	1.8%
50	1	0.9%
48	2	1.8%
45	15	13.8%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	30
Distinct (%)	27.8%
Missing	1
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	40.41666667

Minimum	4
Maximum	181
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	4
5-th percentile	9.35
Q1	23
median	40
Q3	57
95-th percentile	79.5
Maximum	181
Range	177
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	28.10265727
Coefficient of variation (CV)	0.6953234789
Kurtosis	6.488265514
Mean	40.41666667
Median Absolute Deviation (MAD)	17
Skewness	1.967172126
Sum	4365
Variance	789.7593458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
45	15	13.8%
24	13	11.9%
60	12	11.0%
57	10	9.2%
20	7	6.4%
25	5	4.6%
50	4	3.7%
10	4	3.7%
30	3	2.8%
37	3	2.8%
Other values (20)	32	29.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	2	1.8%
7	2	1.8%
9	1	0.9%
10	4	3.7%
11	3	2.8%
12	2	1.8%
14	1	0.9%
15	3	2.8%
16	1	0.9%

Value	Count	Frequency (%)
181	1	0.9%
130	1	0.9%
120	3	2.8%
90	1	0.9%
60	12	11.0%
58	2	1.8%
57	10	9.2%
53	1	0.9%
50	4	3.7%
48	2	1.8%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	42.2%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

2020-12-14	30
2018-09-21	13
2020-11-23	8
2020-11-16	5
2020-11-09	4
Other values (41)	49

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1090
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	33.0%

Sample

1st row	2020-12-07
2nd row	2020-12-07
3rd row	2017-06-12
4th row	2020-10-05
5th row	2018-03-30

Common Values

Value	Count	Frequency (%)
2020-12-14	30	27.5%
2018-09-21	13	11.9%
2020-11-23	8	7.3%
2020-11-16	5	4.6%
2020-11-09	4	3.7%
2020-12-07	4	3.7%
2020-11-30	3	2.8%
2013-12-24	2	1.8%
2020-11-19	2	1.8%
2020-12-13	2	1.8%
Other values (36)	36	33.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-14	30	27.5%
2018-09-21	13	11.9%
2020-11-23	8	7.3%
2020-11-16	5	4.6%
2020-11-09	4	3.7%
2020-12-07	4	3.7%
2020-11-30	3	2.8%
2020-12-13	2	1.8%
2020-11-19	2	1.8%
2013-12-24	2	1.8%
Other values (36)	36	33.0%

Most occurring characters

Value	Count	Frequency (%)
0	249	22.8%
2	248	22.8%
-	218	20.0%
1	214	19.6%
4	40	3.7%
9	36	3.3%
3	26	2.4%
8	24	2.2%
7	15	1.4%
6	11	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	872	80.0%
Dash Punctuation	218	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	249	28.6%
2	248	28.4%
1	214	24.5%
4	40	4.6%
9	36	4.1%
3	26	3.0%
8	24	2.8%
7	15	1.7%
6	11	1.3%
5	9	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	218	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	249	22.8%
2	248	22.8%
-	218	20.0%
1	214	19.6%
4	40	3.7%
9	36	3.3%
3	26	2.4%
8	24	2.2%
7	15	1.4%
6	11	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	249	22.8%
2	248	22.8%
-	218	20.0%
1	214	19.6%
4	40	3.7%
9	36	3.3%
3	26	2.4%
8	24	2.2%
7	15	1.4%
6	11	1.0%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

nan	54
2020-12-14	23
2021-01-05	8
2021-01-18	7
2020-12-28	3
Other values (10)	14

Length

Max length	10
Median length	10
Mean length	6.532110092
Min length	3

Characters and Unicode

Total characters	712
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	5.5%

Sample

1st row	2020-12-28
2nd row	2020-12-28
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	54	49.5%
2020-12-14	23	21.1%
2021-01-05	8	7.3%
2021-01-18	7	6.4%
2020-12-28	3	2.8%
2020-12-22	2	1.8%
2020-12-30	2	1.8%
2020-12-16	2	1.8%
2020-12-23	2	1.8%
2020-12-24	1	0.9%
Other values (5)	5	4.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	54	49.5%
2020-12-14	23	21.1%
2021-01-05	8	7.3%
2021-01-18	7	6.4%
2020-12-28	3	2.8%
2020-12-22	2	1.8%
2020-12-30	2	1.8%
2020-12-16	2	1.8%
2020-12-23	2	1.8%
2020-12-24	1	0.9%
Other values (5)	5	4.6%

Most occurring characters

Value	Count	Frequency (%)
2	162	22.8%
0	120	16.9%
-	110	15.4%
n	108	15.2%
1	106	14.9%
a	54	7.6%
4	24	3.4%
8	12	1.7%
5	8	1.1%
3	4	0.6%
Other values (2)	4	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	440	61.8%
Lowercase Letter	162	22.8%
Dash Punctuation	110	15.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	162	36.8%
0	120	27.3%
1	106	24.1%
4	24	5.5%
8	12	2.7%
5	8	1.8%
3	4	0.9%
6	3	0.7%
7	1	0.2%

Lowercase Letter

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	110	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	550	77.2%
Latin	162	22.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	162	29.5%
0	120	21.8%
-	110	20.0%
1	106	19.3%
4	24	4.4%
8	12	2.2%
5	8	1.5%
3	4	0.7%
6	3	0.5%
7	1	0.2%

Latin

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	712	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	162	22.8%
0	120	16.9%
-	110	15.4%
n	108	15.2%
1	106	14.9%
a	54	7.6%
4	24	3.4%
8	12	1.7%
5	8	1.1%
3	4	0.6%
Other values (2)	4	0.6%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	51.4%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

nan	13
https://www.netflix.com/title/80115346	13
https://www.netflix.com/title/81017308	10
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	8
https://programme.mytvsuper.com/tc/130336/	5
Other values (51)	60

Length

Max length	105
Median length	86
Mean length	41.96330275
Min length	3

Characters and Unicode

Total characters	4574
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	39.4%

Sample

1st row	https://premier.one/show/12339
2nd row	https://premier.one/show/12339
3rd row	nan
4th row	https://www.bilibili.com/bangumi/media/md28229943/
5th row	https://v.qq.com/detail/5/5cuf8ahvxvm2587.html

Common Values

Value	Count	Frequency (%)
nan	13	11.9%
https://www.netflix.com/title/80115346	13	11.9%
https://www.netflix.com/title/81017308	10	9.2%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	8	7.3%
https://programme.mytvsuper.com/tc/130336/	5	4.6%
https://www.iqiyi.com/a_je0t80m6td.html	3	2.8%
https://premier.one/show/12339	2	1.8%
https://www.tytnetwork.com	2	1.8%
https://www.iqiyi.com/a_19rrhskr95.html	2	1.8%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	1.8%
Other values (46)	49	45.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	13	11.9%
https://www.netflix.com/title/80115346	13	11.9%
https://www.netflix.com/title/81017308	10	9.2%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	8	7.3%
https://programme.mytvsuper.com/tc/130336	5	4.6%
https://www.iqiyi.com/a_je0t80m6td.html	3	2.8%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	1.8%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	1.8%
https://viaplay.no/serier/professionals	2	1.8%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	1.8%
Other values (46)	49	45.0%

Most occurring characters

Value	Count	Frequency (%)
/	405	8.9%
t	398	8.7%
e	234	5.1%
s	208	4.5%
.	200	4.4%
w	199	4.4%
h	180	3.9%
o	177	3.9%
m	163	3.6%
i	146	3.2%
Other values (64)	2264	49.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2967	64.9%
Other Punctuation	781	17.1%
Decimal Number	569	12.4%
Uppercase Letter	164	3.6%
Dash Punctuation	51	1.1%
Math Symbol	25	0.5%
Connector Punctuation	17	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	398	13.4%
e	234	7.9%
s	208	7.0%
w	199	6.7%
h	180	6.1%
o	177	6.0%
m	163	5.5%
i	146	4.9%
p	145	4.9%
a	131	4.4%
Other values (16)	986	33.2%

Uppercase Letter

Value	Count	Frequency (%)
E	21	12.8%
B	14	8.5%
A	13	7.9%
D	12	7.3%
P	12	7.3%
M	10	6.1%
C	10	6.1%
U	9	5.5%
T	7	4.3%
Z	7	4.3%
Other values (15)	49	29.9%

Decimal Number

Value	Count	Frequency (%)
0	112	19.7%
1	97	17.0%
3	70	12.3%
8	62	10.9%
4	50	8.8%
5	41	7.2%
6	39	6.9%
2	38	6.7%
9	32	5.6%
7	28	4.9%

Other Punctuation

Value	Count	Frequency (%)
/	405	51.9%
.	200	25.6%
:	96	12.3%
%	57	7.3%
?	11	1.4%
&	8	1.0%
,	2	0.3%
!	1	0.1%
#	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	23	92.0%
+	2	8.0%

Dash Punctuation

Value	Count	Frequency (%)
-	51	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	17	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3131	68.5%
Common	1443	31.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	398	12.7%
e	234	7.5%
s	208	6.6%
w	199	6.4%
h	180	5.7%
o	177	5.7%
m	163	5.2%
i	146	4.7%
p	145	4.6%
a	131	4.2%
Other values (41)	1150	36.7%

Common

Value	Count	Frequency (%)
/	405	28.1%
.	200	13.9%
0	112	7.8%
1	97	6.7%
:	96	6.7%
3	70	4.9%
8	62	4.3%
%	57	4.0%
-	51	3.5%
4	50	3.5%
Other values (13)	243	16.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4574	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	405	8.9%
t	398	8.7%
e	234	5.1%
s	208	4.5%
.	200	4.4%
w	199	4.4%
h	180	3.9%
o	177	3.9%
m	163	3.6%
i	146	3.2%
Other values (64)	2264	49.5%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	40
Distinct (%)	36.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.20183486

Minimum	1
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	1
5-th percentile	1.4
Q1	15
median	28
Q3	52
95-th percentile	83
Maximum	97
Range	96
Interquartile range (IQR)	37

Descriptive statistics

Standard deviation	27.93702568
Coefficient of variation (CV)	0.7717019259
Kurtosis	-0.7407926463
Mean	36.20183486
Median Absolute Deviation (MAD)	16
Skewness	0.7190510053
Sum	3946
Variance	780.477404
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
83	14	12.8%
30	10	9.2%
52	10	9.2%
13	8	7.3%
15	6	5.5%
1	6	5.5%
18	5	4.6%
25	4	3.7%
6	3	2.8%
28	3	2.8%
Other values (30)	40	36.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	5.5%
2	1	0.9%
3	2	1.8%
4	2	1.8%
6	3	2.8%
8	1	0.9%
10	1	0.9%
11	2	1.8%
13	8	7.3%
14	1	0.9%

Value	Count	Frequency (%)
97	2	1.8%
94	1	0.9%
87	1	0.9%
83	14	12.8%
77	1	0.9%
75	1	0.9%
72	1	0.9%
65	1	0.9%
64	1	0.9%
63	1	0.9%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

nan	109

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	327
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	109	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	109	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	218	66.7%
a	109	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	327	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	218	66.7%
a	109	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	327	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	218	66.7%
a	109	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	327	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	218	66.7%
a	109	33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	45.0%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

nan	23
<p><b>Hilda</b> follows the adventures of a fearless blue-haired girl as she travels from her home in a vast magical wilderness full of elves and giants, to the bustling city of Trolberg, where she meets new friends and mysterious creatures who are stranger - and more dangerous - than she ever expected.</p>	13
<p><b>Tiny Pretty Things</b> is set in the world of an elite ballet academy and charts the rise and fall of young adults who live far from their homes, each standing on the verge of greatness or ruin. As Chicago's only elite dance school, the Archer School of Ballet serves as the company school for the city's renowned professional company: City Works Ballet. The Archer School is an oasis for an array of dancers: rich and poor, from north and south, and a range of backgrounds. Yet they all share a rare talent and passion for dance, a loyal sense of community... and when it comes to their dreams, no Plan B.</p>	10
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>	8
<p>A documentary series about Tofaş owners and culture from 7 regions of Turkey.</p>	5
Other values (44)	50

Length

Max length	913
Median length	802
Mean length	288.2844037
Min length	3

Characters and Unicode

Total characters	31423
Distinct characters	121
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	34.9%

Sample

1st row	nan
2nd row	nan
3rd row	<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>
4th row	<p>One day in 20XX, the alien pig prince who planned to take a human body as his home arrived on Earth, but unexpectedly discovered that the human being he wanted to live in had not yet been born! The pig prince, who has nowhere to settle down, got to know Saiji and Rubi. The three pulled various funny pranks on humans, causing humans to have baldness, bad breath, headaches, emotional crisis and other problems.</p>
5th row	<p>The master of Ye Xing Yun will ascend to heaven, leaving behind the great strength of the Tian Yuan Sect, and Ye Xing Yun making the new Sovereign of the Tian Yuan Sect, and at the request of his master, seek revenge by entering into a small family while waiting to perform revenge. Ye Xing Yun embarks on an extremely dangerous road, but with his strategy, and with the help of the masters of the Tian Yuan Sect, his long-term strategy of confrontation with the huge Zhou dynasty.</p>

Common Values

Value	Count	Frequency (%)
nan	23	21.1%
<p><b>Hilda</b> follows the adventures of a fearless blue-haired girl as she travels from her home in a vast magical wilderness full of elves and giants, to the bustling city of Trolberg, where she meets new friends and mysterious creatures who are stranger - and more dangerous - than she ever expected.</p>	13	11.9%
<p><b>Tiny Pretty Things</b> is set in the world of an elite ballet academy and charts the rise and fall of young adults who live far from their homes, each standing on the verge of greatness or ruin. As Chicago's only elite dance school, the Archer School of Ballet serves as the company school for the city's renowned professional company: City Works Ballet. The Archer School is an oasis for an array of dancers: rich and poor, from north and south, and a range of backgrounds. Yet they all share a rare talent and passion for dance, a loyal sense of community... and when it comes to their dreams, no Plan B.</p>	10	9.2%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>	8	7.3%
<p>A documentary series about Tofaş owners and culture from 7 regions of Turkey.</p>	5	4.6%
<p><b>Professionals</b> is set against a backdrop of international espionage and corporate sabotage in the 21st century's privately-funded space race and follows hardened former counterintelligence officer Captain Vincent Corbo. After their advanced medical satellite explodes on deployment, billionaire futurist Peter Swann and his fiancée, medical visionary Dr. Graciela "Grace" Davila, turn to Corbo. Corbo assembles a team of experienced professionals to investigate the incident. They learn that any combination of Swann's business rivals, corrupt governments officials, and a shadowy crime syndicate could be behind the attack and represent a continued threat.</p>	2	1.8%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2	1.8%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>	2	1.8%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	2	1.8%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	1.8%
Other values (39)	40	36.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	268	5.0%
and	230	4.3%
of	199	3.7%
a	144	2.7%
to	142	2.7%
in	89	1.7%
their	62	1.2%
from	58	1.1%
for	54	1.0%
as	54	1.0%
Other values (1348)	4028	75.6%

Most occurring characters

Value	Count	Frequency (%)
	5209	16.6%
e	2887	9.2%
a	2050	6.5%
o	1864	5.9%
t	1862	5.9%
n	1764	5.6%
r	1650	5.3%
s	1645	5.2%
i	1405	4.5%
h	1215	3.9%
Other values (111)	9872	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23818	75.8%
Space Separator	5219	16.6%
Other Punctuation	855	2.7%
Uppercase Letter	839	2.7%
Math Symbol	554	1.8%
Dash Punctuation	71	0.2%
Decimal Number	56	0.2%
Close Punctuation	5	< 0.1%
Open Punctuation	5	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2887	12.1%
a	2050	8.6%
o	1864	7.8%
t	1862	7.8%
n	1764	7.4%
r	1650	6.9%
s	1645	6.9%
i	1405	5.9%
h	1215	5.1%
l	1024	4.3%
Other values (53)	6452	27.1%

Uppercase Letter

Value	Count	Frequency (%)
T	107	12.8%
A	77	9.2%
S	69	8.2%
B	53	6.3%
Y	53	6.3%
W	52	6.2%
M	39	4.6%
C	38	4.5%
P	38	4.5%
L	32	3.8%
Other values (20)	281	33.5%

Other Punctuation

Value	Count	Frequency (%)
,	290	33.9%
.	260	30.4%
/	140	16.4%
'	79	9.2%
"	40	4.7%
:	29	3.4%
!	10	1.2%
?	5	0.6%
&	1	0.1%
;	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	13	23.2%
2	13	23.2%
1	8	14.3%
7	7	12.5%
3	5	8.9%
9	5	8.9%
5	3	5.4%
8	1	1.8%
6	1	1.8%

Space Separator

Value	Count	Frequency (%)
	5209	99.8%
	10	0.2%

Math Symbol

Value	Count	Frequency (%)
<	277	50.0%
>	277	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	63	88.7%
—	8	11.3%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24269	77.2%
Common	6766	21.5%
Cyrillic	388	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2887	11.9%
a	2050	8.4%
o	1864	7.7%
t	1862	7.7%
n	1764	7.3%
r	1650	6.8%
s	1645	6.8%
i	1405	5.8%
h	1215	5.0%
l	1024	4.2%
Other values (49)	6903	28.4%

Cyrillic

Value	Count	Frequency (%)
е	38	9.8%
и	38	9.8%
т	37	9.5%
о	35	9.0%
с	25	6.4%
а	24	6.2%
н	24	6.2%
м	21	5.4%
в	16	4.1%
р	15	3.9%
Other values (24)	115	29.6%

Common

Value	Count	Frequency (%)
	5209	77.0%
,	290	4.3%
<	277	4.1%
>	277	4.1%
.	260	3.8%
/	140	2.1%
'	79	1.2%
-	63	0.9%
"	40	0.6%
:	29	0.4%
Other values (18)	102	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31003	98.7%
Cyrillic	388	1.2%
None	24	0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5209	16.8%
e	2887	9.3%
a	2050	6.6%
o	1864	6.0%
t	1862	6.0%
n	1764	5.7%
r	1650	5.3%
s	1645	5.3%
i	1405	4.5%
h	1215	3.9%
Other values (68)	9452	30.5%

Cyrillic

Value	Count	Frequency (%)
е	38	9.8%
и	38	9.8%
т	37	9.5%
о	35	9.0%
с	25	6.4%
а	24	6.2%
н	24	6.2%
м	21	5.4%
в	16	4.1%
р	15	3.9%
Other values (24)	115	29.6%

None

Value	Count	Frequency (%)
	10	41.7%
ş	5	20.8%
é	4	16.7%
ā	1	4.2%
ç	1	4.2%
ı	1	4.2%
è	1	4.2%
å	1	4.2%

Punctuation

Value	Count	Frequency (%)
—	8	100.0%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	60
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1634138379

Minimum	1602172227
Maximum	1652117487
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1000.0 B

Quantile statistics

Minimum	1602172227
5-th percentile	1611477684
Q1	1618466682
median	1639077815
Q3	1645388626
95-th percentile	1651771938
Maximum	1652117487
Range	49945260
Interquartile range (IQR)	26921944

Descriptive statistics

Standard deviation	14617492.36
Coefficient of variation (CV)	0.008945076226
Kurtosis	-1.124807076
Mean	1634138379
Median Absolute Deviation (MAD)	9112243
Skewness	-0.6059062332
Sum	1.781210833 × 10¹¹
Variance	2.13671083 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1639077815	13	11.9%
1637663473	10	9.2%
1612478145	8	7.3%
1611538948	5	4.6%
1615192954	5	4.6%
1643057695	5	4.6%
1619636581	3	2.8%
1648190058	2	1.8%
1609060726	2	1.8%
1650826480	2	1.8%
Other values (50)	54	49.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1602172227	1	0.9%
1609060726	2	1.8%
1609535141	2	1.8%
1611436842	1	0.9%
1611538948	5	4.6%
1612478145	8	7.3%
1613088348	1	0.9%
1613356446	1	0.9%
1615192954	5	4.6%
1616422913	1	0.9%

Value	Count	Frequency (%)
1652117487	1	0.9%
1652004708	2	1.8%
1651933209	1	0.9%
1651838647	1	0.9%
1651777316	1	0.9%
1651763872	1	0.9%
1651570316	1	0.9%
1650908800	1	0.9%
1650826480	2	1.8%
1650547044	1	0.9%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	109
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1000.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2176148	1
https://api.tvmaze.com/episodes/1996399	1
https://api.tvmaze.com/episodes/1955318	1
https://api.tvmaze.com/episodes/1996786	1
Other values (104)	104

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4251
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	109 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2176148	1	0.9%
https://api.tvmaze.com/episodes/1996399	1	0.9%
https://api.tvmaze.com/episodes/1955318	1	0.9%
https://api.tvmaze.com/episodes/1996786	1	0.9%
https://api.tvmaze.com/episodes/1949336	1	0.9%
https://api.tvmaze.com/episodes/1949335	1	0.9%
https://api.tvmaze.com/episodes/1949334	1	0.9%
https://api.tvmaze.com/episodes/1949333	1	0.9%
https://api.tvmaze.com/episodes/1949332	1	0.9%
Other values (99)	99	90.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2092729	1	0.9%
https://api.tvmaze.com/episodes/1964000	1	0.9%
https://api.tvmaze.com/episodes/1995405	1	0.9%
https://api.tvmaze.com/episodes/2007760	1	0.9%
https://api.tvmaze.com/episodes/1985789	1	0.9%
https://api.tvmaze.com/episodes/2039622	1	0.9%
https://api.tvmaze.com/episodes/2039623	1	0.9%
https://api.tvmaze.com/episodes/2324427	1	0.9%
https://api.tvmaze.com/episodes/2324428	1	0.9%
Other values (99)	99	90.8%

Most occurring characters

Value	Count	Frequency (%)
/	436	10.3%
p	327	7.7%
s	327	7.7%
e	327	7.7%
t	327	7.7%
o	218	5.1%
a	218	5.1%
i	218	5.1%
.	218	5.1%
m	218	5.1%
Other values (16)	1417	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2725	64.1%
Other Punctuation	763	17.9%
Decimal Number	763	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	327	12.0%
s	327	12.0%
e	327	12.0%
t	327	12.0%
o	218	8.0%
a	218	8.0%
i	218	8.0%
m	218	8.0%
h	109	4.0%
d	109	4.0%
Other values (3)	327	12.0%

Decimal Number

Value	Count	Frequency (%)
9	119	15.6%
2	114	14.9%
1	99	13.0%
0	97	12.7%
3	66	8.7%
6	63	8.3%
8	60	7.9%
7	53	6.9%
4	49	6.4%
5	43	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	436	57.1%
.	218	28.6%
:	109	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2725	64.1%
Common	1526	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	436	28.6%
.	218	14.3%
9	119	7.8%
2	114	7.5%
:	109	7.1%
1	99	6.5%
0	97	6.4%
3	66	4.3%
6	63	4.1%
8	60	3.9%
Other values (3)	145	9.5%

Latin

Value	Count	Frequency (%)
p	327	12.0%
s	327	12.0%
e	327	12.0%
t	327	12.0%
o	218	8.0%
a	218	8.0%
i	218	8.0%
m	218	8.0%
h	109	4.0%
d	109	4.0%
Other values (3)	327	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4251	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	436	10.3%
p	327	7.7%
s	327	7.7%
e	327	7.7%
t	327	7.7%
o	218	5.1%
a	218	5.1%
i	218	5.1%
.	218	5.1%
m	218	5.1%
Other values (16)	1417	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1982403	https://www.tvmaze.com/episodes/1982403/volk-1x05-seria-05	Серия 05	1.0	5.0	regular	2020-12-14	nan	2020-12-14T00:00:00+00:00	48.0	None	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/1977902
1	1982404	https://www.tvmaze.com/episodes/1982404/volk-1x06-seria-06	Серия 06	1.0	6.0	regular	2020-12-14	nan	2020-12-14T00:00:00+00:00	51.0	None	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/2015818
2	2140387	https://www.tvmaze.com/episodes/2140387/going-seventeen-2020-12-14-going-vs-seventeen-1	GOING VS SEVENTEEN #1	2020.0	42.0	regular	2020-12-14	nan	2020-12-14T03:00:00+00:00	30.0	None	nan	56655	https://www.tvmaze.com/shows/56655/going-seventeen	Going Seventeen	Variety	Korean	[]	Running	30.0	30.0	2017-06-12	nan	nan	18.0	nan	<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>	1.651764e+09	https://api.tvmaze.com/episodes/1964000
3	1945592	https://www.tvmaze.com/episodes/1945592/my-little-invisible-being-1x12-episode-12	Episode 12	1.0	12.0	regular	2020-12-14	12:00	2020-12-14T04:00:00+00:00	5.0	None	nan	50916	https://www.tvmaze.com/shows/50916/my-little-invisible-being	My Little Invisible Being	Animation	Chinese	['Comedy', 'Anime']	Running	5.0	5.0	2020-10-05	nan	https://www.bilibili.com/bangumi/media/md28229943/	3.0	nan	<p>One day in 20XX, the alien pig prince who planned to take a human body as his home arrived on Earth, but unexpectedly discovered that the human being he wanted to live in had not yet been born! The pig prince, who has nowhere to settle down, got to know Saiji and Rubi. The three pulled various funny pranks on humans, causing humans to have baldness, bad breath, headaches, emotional crisis and other problems.</p>	1.602172e+09	https://api.tvmaze.com/episodes/1995405
4	2065442	https://www.tvmaze.com/episodes/2065442/the-wonderland-of-ten-thousands-4x29-episode-29-157	Episode 29 (157)	4.0	29.0	regular	2020-12-14	nan	2020-12-14T04:00:00+00:00	10.0	None	nan	54610	https://www.tvmaze.com/shows/54610/the-wonderland-of-ten-thousands	The Wonderland of Ten Thousands	Animation	Chinese	['Anime', 'Fantasy', 'Romance']	Running	10.0	10.0	2018-03-30	nan	https://v.qq.com/detail/5/5cuf8ahvxvm2587.html	65.0	nan	<p>The master of Ye Xing Yun will ascend to heaven, leaving behind the great strength of the Tian Yuan Sect, and Ye Xing Yun making the new Sovereign of the Tian Yuan Sect, and at the request of his master, seek revenge by entering into a small family while waiting to perform revenge. Ye Xing Yun embarks on an extremely dangerous road, but with his strategy, and with the help of the masters of the Tian Yuan Sect, his long-term strategy of confrontation with the huge Zhou dynasty.</p>	1.646256e+09	https://api.tvmaze.com/episodes/2007760
5	2071477	https://www.tvmaze.com/episodes/2071477/youths-in-the-breeze-1x07-the-boy-and-the-cat-07	THE BOY AND THE CAT #07	1.0	7.0	regular	2020-12-14	nan	2020-12-14T04:00:00+00:00	7.0	None	nan	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	['Drama', 'Fantasy']	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	28.0	nan	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1.618467e+09	https://api.tvmaze.com/episodes/1985789
6	2071478	https://www.tvmaze.com/episodes/2071478/youths-in-the-breeze-1x08-the-boy-and-the-cat-08	THE BOY AND THE CAT #08	1.0	8.0	regular	2020-12-14	nan	2020-12-14T04:00:00+00:00	7.0	None	nan	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	['Drama', 'Fantasy']	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	28.0	nan	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1.618467e+09	https://api.tvmaze.com/episodes/2039622
7	2080225	https://www.tvmaze.com/episodes/2080225/supreme-god-emperor-1x63-episode-63	Episode 63	1.0	63.0	regular	2020-12-14	nan	2020-12-14T04:00:00+00:00	10.0	None	nan	55019	https://www.tvmaze.com/shows/55019/supreme-god-emperor	Supreme God Emperor	Animation	Chinese	['Anime']	Running	10.0	10.0	2020-05-18	nan	https://v.qq.com/detail/m/mzc00200ilydv1a.html	63.0	nan	<p>Ten thousand years ago, Muyun's fairy King was secretly accounted for by holding a Zhuxian figure, and after a long sleep, he awakened in the famous "Muyun waste" of the southern Yun Empire in the Land of Heaven. When Muyun first woke up, he was deliberately bothered by the student Miaoxianyu. Muyun easily completed the Miaoxianyu trap, and he gave more and more alchemy skills by analogy, so the Alchemy masters outside the door could not ask for appreciation. Endless back home, Mu Yun learns that he is about to marry Nona Qin Qin Mengyao. Qin Mengyao was cold and toxic, but could not live until he was 20 years old. The marriage was only for the sake of pastoralists and family of Qin. However, under Mu Linchen's enticement, Mu Yun approves the family's issue on the condition of alchemy.</p><p><br /> </p>	1.642202e+09	https://api.tvmaze.com/episodes/2039623
8	1977322	https://www.tvmaze.com/episodes/1977322/stjernestov-1x14-episode-14	Episode 14	1.0	14.0	regular	2020-12-14	06:00	2020-12-14T05:00:00+00:00	20.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726348.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726348.jpg'}	nan	50752	https://www.tvmaze.com/shows/50752/stjernestov	Stjernestøv	Scripted	Norwegian	['Drama', 'Children', 'Family']	Ended	20.0	20.0	2020-12-01	2020-12-24	https://tv.nrk.no/serie/stjernestoev	22.0	nan	<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>	1.611437e+09	https://api.tvmaze.com/episodes/2324427
9	2003096	https://www.tvmaze.com/episodes/2003096/slepaa-10x100-cuzaa-igra	Чужая игра	10.0	100.0	regular	2020-12-14	17:35	2020-12-14T05:35:00+00:00	25.0	None	nan	26268	https://www.tvmaze.com/shows/26268/slepaa	Слепая	Scripted	Russian	['Drama']	Running	25.0	25.0	2014-08-18	nan	http://tv3.ru/project/slepaya	11.0	nan	nan	1.647379e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
99	2005524	https://www.tvmaze.com/episodes/2005524/this-week-in-tech-2020-12-14-i-cant-believe-its-not-minecraft-airpods-max-cyberpunk-2077-us-treasury-hack-halo-band	I Can't Believe It's Not Minecraft - AirPods Max, Cyberpunk 2077, US Treasury hack, Halo Band	2020.0	50.0	regular	2020-12-14	nan	2020-12-14T17:00:00+00:00	120.0	None	nan	17584	https://www.tvmaze.com/shows/17584/this-week-in-tech	This Week in Tech	News	English	[]	Running	120.0	120.0	2005-04-17	nan	https://twit.tv/shows/this-week-in-tech	27.0	nan	<p>Your first podcast of the week is the last word in tech. Join the top tech pundits in a roundtable discussion of the latest trends in high tech. Hosted by Leo Laporte and friends.</p>	1.648029e+09	https://api.tvmaze.com/episodes/2001670
100	1977577	https://www.tvmaze.com/episodes/1977577/atop-the-fourth-wall-12x46-the-transformers-uk-41	The Transformers (UK) #41	12.0	46.0	regular	2020-12-14	nan	2020-12-14T17:00:00+00:00	25.0	None	nan	18971	https://www.tvmaze.com/shows/18971/atop-the-fourth-wall	Atop the Fourth Wall	Variety	English	[]	Running	25.0	25.0	2008-10-26	nan	http://www.atopthefourthwall.com	28.0	nan	<p><b>Atop the Fourth Wall</b> is a comic book review show, hosted by Lewis "Linkara" Lovhaug. The show specializes in reviewing really bad comic books.</p>	1.649779e+09	https://api.tvmaze.com/episodes/2001671
101	2036538	https://www.tvmaze.com/episodes/2036538/raw-talk-4x29-december-14-2020	December 14, 2020	4.0	29.0	regular	2020-12-14	nan	2020-12-14T17:00:00+00:00	30.0	None	nan	22473	https://www.tvmaze.com/shows/22473/raw-talk	RAW Talk	Talk Show	English	['Sports']	Running	30.0	30.0	2016-10-30	nan	https://watch.wwe.com/in-ring/Raw-Talk-1004	40.0	nan	<p>On <b>RAW Talk</b>, Renee Young catches up with your favorite WWE RAW Superstars after each episode of "RAW" airs on the USA Network to hear their thoughts on all of that evening's action.</p>	1.641487e+09	https://api.tvmaze.com/episodes/2001672
102	1979360	https://www.tvmaze.com/episodes/1979360/death-battle-7x19-sanji-vs-rock-lee	Sanji vs. Rock Lee	7.0	19.0	regular	2020-12-14	nan	2020-12-14T17:00:00+00:00	10.0	None	nan	44725	https://www.tvmaze.com/shows/44725/death-battle	Death Battle!	Animation	English	['Comedy', 'Action']	Running	10.0	10.0	2010-12-07	nan	https://roosterteeth.com/series/death-battle	30.0	nan	<p><b>Death Battle!</b> places two or more characters from pop culture in an all out, no-holds barred slugfest to the death. Who will survive? What weapons will be used? How much blood will be spilled? <i>Death Battle!</i> has the answers.</p>	1.652117e+09	https://api.tvmaze.com/episodes/2001673
103	1977412	https://www.tvmaze.com/episodes/1977412/goede-tijden-slechte-tijden-31x61-aflevering-6316	Aflevering 6316	31.0	61.0	regular	2020-12-14	20:00	2020-12-14T19:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720704.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720704.jpg'}	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2001674
104	1987074	https://www.tvmaze.com/episodes/1987074/frusna-vagar-6x08-episode-8	Episode 8	6.0	8.0	regular	2020-12-14	20:00	2020-12-14T19:00:00+00:00	60.0	None	nan	35597	https://www.tvmaze.com/shows/35597/frusna-vagar	Frusna vägar	Reality	Swedish	[]	Running	60.0	60.0	2018-01-30	nan	https://www.viafree.se/program/reality/frusna-vagar	11.0	nan	<p>Join a sparkling Sweden far up in the north where snow and ice are everyday for both bearers and snowmen, but not as comfortable for big city residents on a temporary visit. In Frozen roads, we go out on the roads along with the heroes who turn the northern borders into dangerous areas, despite Kung Boro's hard resistance. When the wind suddenly sweeps into the sparkling fields in snowy wrecking, the roads shine glashala and the drifting snow forms piles, then they have never longed so much for the heroes of the winter roads.</p>	1.644330e+09	https://api.tvmaze.com/episodes/2007691
105	1978063	https://www.tvmaze.com/episodes/1978063/prince-charming-2x10-folge-10	Folge 10	2.0	10.0	regular	2020-12-14	20:15	2020-12-14T19:15:00+00:00	60.0	None	nan	45015	https://www.tvmaze.com/shows/45015/prince-charming	Prince Charming	Reality	German	['Romance']	Running	60.0	60.0	2019-10-30	nan	https://www.tvnow.de/shows/prince-charming-17742	18.0	nan	nan	1.632907e+09	https://api.tvmaze.com/episodes/2007692
106	2156738	https://www.tvmaze.com/episodes/2156738/curious-george-12x19-georges-new-home	George's New Home	12.0	19.0	regular	2020-12-14	17:00	2020-12-14T22:00:00+00:00	15.0	None	nan	17447	https://www.tvmaze.com/shows/17447/curious-george	Curious George	Animation	English	['Children', 'Family']	Running	15.0	15.0	2006-09-04	nan	nan	75.0	nan	<p>George lives to find new things to discover, touch, spill, and chew. Everything is new to George and worth investigating. Of course, in George's hands - all four of them - investigation often leads to unintended consequences! Throughout George's adventures, he encounters and models basic concepts in each of the three content areas.</p>	1.647702e+09	https://api.tvmaze.com/episodes/2031800
107	1972712	https://www.tvmaze.com/episodes/1972712/wwe-monday-night-raw-27x50-1438-tropicana-field-in-st-petersburg-fl	#1438 - Tropicana Field in St. Petersburg, FL	27.0	50.0	regular	2020-12-14	20:00	2020-12-15T01:00:00+00:00	180.0	None	nan	802	https://www.tvmaze.com/shows/802/wwe-monday-night-raw	WWE Monday Night RAW	Sports	English	[]	Running	180.0	181.0	1993-01-11	nan	http://www.wwe.com/	94.0	nan	<p><b>WWE Monday Night RAW</b> is World Wrestling Entertainment's (formerly the WWF and the WWWF before that) premiere wrestling event and brand. Since its launch in 1993, WWE Monday Night RAW continues to air live on Monday nights. It is generally seen as the company's flagship program due to its prolific history, high ratings, weekly live format, and emphasis on pay-per-views. Monday Night RAW is high profile enough to attract frequent visits from celebrities who usually serve as guest hosts for a single live event. Since its first episode, the show has been broadcast live or recorded from more than 197 different arenas in 165 cities and towns in seven different nations: including the United States, Canada, the United Kingdom twice a year, Afghanistan for a special Tribute to the Troops, Germany, Japan, Italy and Mexico.</p>	1.649724e+09	https://api.tvmaze.com/episodes/2034364
108	2152585	https://www.tvmaze.com/episodes/2152585/gang-wars-princes-1x10-serija-10	Serija 10	1.0	10.0	regular	2020-12-14	21:00	2020-12-15T02:00:00+00:00	45.0	None	nan	57009	https://www.tvmaze.com/shows/57009/gang-wars-princes	Gang Wars. Princes	Scripted	Lithuanian	['Drama', 'Crime', 'Thriller']	Ended	NaN	45.0	2020-10-12	2020-12-28	https://go3.lt/series/gauju-karai-princai,serial-2042036	17.0	nan	<p>Based on true events, the new Go3 original series is a crime story that may have taken place in the late 20th century in Lithuania. The story about one of the criminal groups "Princes" shows their methods of action, lifestyle and relationships with other criminal gangs.</p>	1.636217e+09	https://api.tvmaze.com/episodes/2035877

Overview

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Category Frequency Plot

Most occurring characters

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Lowercase Letter

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Latin

Most occurring blocks

Most frequent character per block

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Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

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Most occurring blocks

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Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation

Most occurring scripts